information management


Beyond Bots: Artificial Intelligence in Marketing

#artificialintelligence

Artificial intelligence has already begun influencing our online lives. Marketing trends are using AI to take the place of sales representatives with the installation of chatbots into the messaging world, but there are even more ways AI will affect internet behavior now and in the future. Take a look at some of the increasingly common AI marketing strategies. If you could predict how your customers would behave, you would have the ability to create more effective strategies to accommodate their behavior. With predictive customer service, that is now possible.


Machine learning seen as key to fighting fraud by financial services firms

@machinelearnbot

A majority of North American financial institutions plan to invest in machine learning analytics to help combat fraud, according to a new report by global research and advisory firm Aite Group and authentication and fraud prevention technology provider Iovation. It's clear that the threat environment continues to escalate, the report said, and effective fraud prevention is an increasingly competitive issue for financial institutions. The study was compiled from interviews with 28 senior fraud and data analytics executives at 20 North American financial institutions. The interviews were conducted by Aite between August and September 2017. "What this study highlighted is that those who are early adopters of advanced machine learning analytics will be able to greatly reduce fraud while also improving the customer experience, giving those [financial institutions] a decided edge over their competitors who lag in these advancements," said Julie Conroy, research director for Aite Group's Retail Banking & Payments practice.


IBM's Watson is key to new artificial intelligence-powered ETF

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As if active portfolio managers didn't have enough challenges from computer-driven passive investing strategies, now machines are directly horning in on their territory. San Francisco-based EquBot LLC is launching the first ever exchange-traded fund to use artificial intelligence, according to a company statement on Tuesday. Employing International Business Machines Corp.'s Watson platform, the AI Powered Equity ETF, ticker AIEQ, will attempt to mimic an army of equity research analysts working around the clock, according to Art Amador, co-founder of EquBot. "There has been an explosion of information," Amador said by phone. "AI provides a more informed way of investing."


Tableau unveils high-scale Hyper engine, previews self-service data-prep and 'smart' capabilities

ZDNet

Tableau Software is the Apple of the analytics market, with a huge fan base and enthusiastic customers who are willing to stand in long lines for a glimpse at what's next. Last week's Tableau Conference in Las Vegas proved that once again with record attendance of more than 14,000. The Tableau fan boys and fan girls were not disappointed, as the company detailed plenty of new capabilities. The highly anticipated Hyper engine, for example, is now in beta release 10.5 and is sure to be generally available by early next year. Hyper solves Tableau performance problems when dealing with high-scale data extracts.


How Artificial Intelligence is Enhancing Digital Marketing?

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Artificial Intelligence is basically teaching machines to be more intelligent than humans at handling routine tasks and reduce human intervention. The way Google serves search results to its users has been improved tremendously, thanks to Artificial Intelligence. Google's Voice Search (Hummingbird) Algorithm and Rank Brain Algorithm have changed the way digital marketer's optimize and snipe their target audience. While Rankbrain is effective at handling never-seen-before search queries by guessing words or phrases with similar meanings, the Voice Search Algorithm is capable of handling normal day-to- day conversational queries and understanding the user's intention behind the search query. Facebook employs deep neural networks powered by artificial intelligence to make data driven decisions about the type of posts and ads to show its users based on the information it scrapes from the user's profile and their online behavior.


How Artificial Intelligence Can Help You in Content Marketing

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Figuring out the best way to market your products and/or services to your customers can be a tricky business. According to marketing trends for 2017, it doesn't look like it's getting any easier for businesses to effectively market their content either. Given all the additional resources a business has access to, one would think they would have a significant advantage when it comes to marketing, however no matter how much research a company does beforehand, the results of marketing campaigns are always unpredictable. As companies look to increase their sales growth and their customer base, it's only natural that they are looking for new and creative ways to increase the effectiveness of their marketing campaigns and bring back the maximum return on each dollar spent. In order to maximize the effectiveness of their marketing campaigns, businesses and individuals need to take a step back and consider new approaches.


Chinese search engine Sogou files to list on NYSE

ZDNet

The news of Sogou filing IPO applications boosted shares of the Nastaq-listed Sohu by 13 percent on Friday. Sogou's parent company Sohu owns 37.8 percent of its stake, according to the prospectus. Sogou owns four major business segments including Sogou's search engine, Sogou input method, and intelligent hardware. The prospectus indicated that Sogou's total revenue for 2014, 2015, and 2016 was $386 million, $592 million, and $660 million, while its search and search-related advertising revenue for the three years came to $358 million, $540 million, and $597 million, respectively.



[R] 2 Hr. Talk "Information Theory of Deep Learning" (Naftali Tishby) • r/MachineLearning

@machinelearnbot

This 2 hour long talk clarifies and goes over in detail many of the details people were interested in from his original talk. Questions in order; what is the difference between the noise in SGD and the typical Langevin dynamics, how does the theory deal with saturated gradients, is it a reasonable strategy to perform early stopping specifically before the compression phase, have you tried the framework on ResNets, what is the message for practitioners, how does the performance of dropout/regularizers relate to the theory, have you considered the connection to a fermi gas equilibrium.


Artificial Intelligence, UX and the Future of Findability

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While you embark on your UX design process, you can use an AI system to analyze large amounts of seemingly unrelated data to help inform your design decisions. For example, you can set up your data mining tools to start collecting structured and unstructured data (analytics, search queries, and other usage data). Over time, as more queries are made in the search engine, and more user analytics are collected, it can better make connections, identify trends, suggest hypotheses, and generate richer findings. In addition to supporting information architecture design, AI presents some really fun opportunities for information management by increasing the potential for latent findability and recommendation.